STATISTICS

Academic Year:

2020/2021

Accademic year of supply:

2020/2021

Course code:

136304

Year of study:

Language:

Italian

Divisions:

Degree:

Course of 1st Cycle Degree in ECONOMICS

Disciplinary Sector:

Statistics

Credits:

Course in italian:

see details

Prerequisites

Not required

Methods of Provision

Traditional

Contents

Introduction to statistics. Detection and classification of data
Different types of statistical tables and graphs.
Statistical indicators and index numbers
The averages
Variability: measures of dispersion and inequality
Asymmetry, normal curve and skewnormal.
Fitting distributions
General concepts on the internal relations between the components of a statistical variable
Regression and correlation analysis. Regression and partial correlations and multiple
Analysis of qualitative data
Time series.

Objectives

At the end of the course the student will have acquired:
- A basic knowledge of statistical data analysis.
- A good knowledge to show data and indicators.
- The skills necessary to seek evidence from key suppliers of statistical data,
- Mathematical and statistical skills needed to plan and carry out a statistical research;
The course will be mainly in the form of lectures but there are also practical exercises

Expected results and skills

The student, at the end of the course should be able to apply to concrete cases the conceptual tools, models and statistical techniques covered during the course.
The teaching tools used allow the immediate applicability of concepts learned. The checks will be carried out by means of oral examinations

Recommended Bibliography

Statistics and Data Analysis – A. Abebe, J. Daniels, J.W. McKean J.A. Kapenga
or
Online Statistics Education: An Interactive Multimedia Course of Study, Developed by Rice University , University of Houston Clear Lake, and Tufts University.
Available at: http://onlinestatbook.com/

Evaluation methods

Type of exam:

Oral

Verification of learning:

Written examination

Evaluation:

Final Mark

Extended Syllabus

Introduction to statistics. Detection and classification of data
Different types of statistical tables and graphs.
Statistical indicators and index numbers
The averages
Variability: measures of dispersion and inequality
Asymmetry, normal curve and skewnormal.
Fitting distributions
General concepts on the internal relations between the components of a statistical variable
Regression and correlation analysis. Multiple Regression. Multiple and partial correlations.
Analysis of qualitative data
Time series

Università di Foggia

Course year: 1

Course year: 2

Course year: 3

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